PayPal | Hiring | MTS1, Data Engineer | BigDataKB.com | 2022-09-27

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Job Location: Chennai

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary: The candidate will be part of PayPal Data Engineering Team. The candidate will be responsible for analysis, design, coding and testing of the application code. The candidate has to interact with global cross-functional teams to address complex business requirements. The role demands the individual to possess technical skills required to perform the job in an effective manner. The individual should be self-motivated, possess creative problem-solving skills and have the ability to handle multiple projects at the same time. The candidate should have passion for data & analytics.

Job Description:

Job Description

  • Works with PayPal business units and Product Dev teams to design, develop and deliver data solutions on one of the largest data platforms in the world.
  • Supports PayPal business units by providing data in a ready-to-use form to data analysts and data scientists for Business insights, predictive analytics, machine learning, etc.
  • Owns and accountable for the design and development of a Data solution feature or a Data Pipeline
  • Spends most of the time developing data pipelines/ETL code for solving various data requirements using traditional ETL tools but also has experience & skills for building custom data pipelines.
  • Code is well-commented, easy to maintain, and can be reused across a sub-system or feature. Code may persist for the lifetime of a software version
  • Code is thoroughly tested with very few bugs, and is supported by unit tests. Able to lead feature or sub-system design reviews and code reviews and be recognized as the go-to developer for that component.
  • Leads in architecture discussions, proposes and discusses solutions to system and product changes.
  • Should be comfortable working in an agile environment and with cross-functional teams, should have appetite to learn and be flexible to pick up new technology.

Skills and Experience

  • A Master or Bachelor degree in computer science or equivalent with 10+ years of data engineering experience
  • Good understanding of Data Warehousing and Business Intelligence Application Design & Development.
  • Good understanding of Data Modelling Concepts.
  • Deals with both structured and unstructured data sets & hence uses different methods to data architecture and applications in building data pipeline.
  • ETL Development including various big data technologies, open source data ingestion and processing frameworks
  • Gains experience with various big-data technologies and solutions (Hive, Pig, Spark) to optimize processing of extremely large datasets.
  • Excellent debugging skills with a solid understanding of data and testing to capture data quality gaps/issues.
  • Good understanding of data processing, data structure optimization and design for scalability.
  • Can be relied on to deliver a data pipeline feature/component on time and to requirements, without data quality issues.
  • Understands and is able to reason about the business requirements, as it relates to their area of expertise/SME.
  • Develops the ability to help in resolving data issues.
  • Understanding of with version control systems, particularly GIT.
  • Strong analytical and problem solving skills.
  • Good understanding of database principles and SQL beyond just data access.
  • Proficient in scripting languages, i.e. Unix/Linux Shell Scripting

Intermediate level knowledge on following technologies, with expertise on few of them:

  • Data Transformation tools like informatica
  • Strong Database fundamentals (Oracle)
  • HBase
  • Hive/Pig
  • Scripting (Shell, Python, Java, Scala)
  • Hadoop eco system
  • Elastic search
  • Stream processing (Kafka)

Intermediate level knowledge on following business domains is a plus:

  • Payments and banking
  • Merchant servicing
  • E-commerce

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:

To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

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